RT Journal Article
T1 Model for Vaccine Design by prediction of B-Epitopes of IEDB given perturbations in peptide sequence, in vivo process, experimental techniques, and source or host organisms
A1 González Díaz, Humberto
A1 Pérez Montoro, Lázaro Guillermo
A1 Martínez Ubeira, Florencio César
K1 Vaccine
K1 Prediction of B-Epitopes
K1 In Vivo Process
AB Perturbation methods add variation terms to a known experimental solution of one problem to approach a solution for a relatedproblem without known exact solution. One problem of this type in immunology is the prediction of the possible action of epitope ofone peptide after a perturbation or variation in the structure of a known peptide and/or other boundary conditions (host organism,biological process, and experimental assay). However, to the best of our knowledge, there are no reports of general-purposeperturbation models to solve this problem. In a recent work, we introduced a new quantitative structure-property relationshiptheory for the study of perturbations in complex biomolecular systems. In this work, we developed the first model able to classifymore than 200,000 cases of perturbations with accuracy, sensitivity, and specificity >90% both in training and validation series.The perturbations include structural changes in >50000 peptides determined in experimental assays with boundary conditionsinvolving >500 source organisms, >50 host organisms, >10 biological process, and >30 experimental techniques. The model maybe useful for the prediction of new epitopes or the optimization of known peptides towards computational vaccine design
PB Hindawi
SN 2314-8861
YR 2014
FD 2014
LK http://hdl.handle.net/10347/22135
UL http://hdl.handle.net/10347/22135
LA eng
NO González Díaz, H., Pérez Montoto, L. G., y Martínez Ubeira, Florencio César. (2014).  Model for vaccine design by prediction of B-epitopes of IEDB given perturbations in peptide sequence, in vivo process, experimental techniques, and source or host organisms. Journal of immunology research, vol. 2014(ID 768515), 15
NO The present study was partially supported by Grants AGL2010-22290-C02 and AGL2011-30563-C03 from Ministerio de Ciencia e Innovacion, Spain, and Grant CN 2012/155 ´ from Xunta de Galicia, Spain
DS Minerva
RD 29 abr 2026